Triple
T763218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand maître de la Légion d'honneur |
E16115
|
entity |
| Predicate | catégorie |
P87
|
FINISHED |
| Object | fonction honorifique |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: fonction honorifique | Statement: [Grand maître de la Légion d'honneur, catégorie, fonction honorifique]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: catégorie Context triple: [Grand maître de la Légion d'honneur, catégorie, fonction honorifique]
-
A.
category
chosen
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
B.
classificationStart
Indicates the point in time or process at which a classification or categorization of an entity begins.
-
C.
rankingCategory
Indicates the classification or type of ranking under which an entity is evaluated or ordered.
-
D.
listedBuildingCategory
Indicates the heritage protection grade or category assigned to a building that is officially recognized as a listed structure.
-
E.
routeCategory
Indicates the classification or type assigned to a route within a transportation or path network.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a69c8c448190a036a04fd8fdd2c2 |
completed | March 1, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69a4a506106081909ef97a679ff00a5a |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.